Edit model card

skandaonsolve/roberta-finetuned-timeentities2_ttsp75

This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.0238
  • Epoch: 9

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3510, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Epoch
0.5917 0
0.3804 1
0.2717 2
0.1843 3
0.1194 4
0.0836 5
0.0585 6
0.0403 7
0.0307 8
0.0238 9

Framework versions

  • Transformers 4.21.3
  • TensorFlow 2.8.2
  • Datasets 2.4.0
  • Tokenizers 0.12.1
Downloads last month
16